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  "Title": "Testing Hypotheses via Fuzzy P-Value in Fuzzy Environment",
  "Version": "0.5",
  "Date": "2017-08-21",
  "Author": "Abbas Parchami (Department of Statistics, Faculty of\nMathematics and Computer, Shahid Bahonar University of Kerman,\nKerman, Iran)",
  "Maintainer": "Abbas Parchami <parchami@uk.ac.ir>",
  "Description": "The main goal of this package is drawing the membership\nfunction of the fuzzy p-value which is defined as a fuzzy set\non the unit interval for three following problems: (1) testing\ncrisp hypotheses based on fuzzy data, see Filzmoser and Viertl\n(2004) <doi:10.1007/s001840300269>, (2) testing fuzzy\nhypotheses based on crisp data, see Parchami et al. (2010)\n<doi:10.1007/s00362-008-0133-4>, and (3) testing fuzzy\nhypotheses based on fuzzy data, see Parchami et al. (2012)\n<doi:10.1007/s00362-010-0353-2>. In all cases, the fuzziness of\ndata or / and the fuzziness of the boundary of null fuzzy\nhypothesis transported via the p-value function and causes to\nproduce the fuzzy p-value. If the p-value is fuzzy, it is more\nappropriate to consider a fuzzy significance level for the\nproblem. Therefore, the comparison of the fuzzy p-value and the\nfuzzy significance level is evaluated by a fuzzy ranking method\nin this package.",
  "License": "LGPL (>= 3)",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-09 06:05:50 UTC",
    "User": "root"
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  "Date/Publication": "2017-08-29 11:57:59 UTC",
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      "title": "Testing Hypotheses via Fuzzy P-Value in Fuzzy Environment",
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        "FPV"
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